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Edge Computing for Enhanced IoT Device Network Efficiency

Managing IoT devices can be very tough. Chiefly
because they sometimes depend heavily on quick data processing. For this to
happen, the data centers or servers responsible for processing the IoT device
data has to be located in close proximity to the IoT device. This is not
possible always. Therefore to avoid this problem and improve the network's
efficiency (as well as security) so that IoT data is processed as quickly as
possible, administrators these days are making use of what is being termed as Edge
Computing.

Edge Computing? What is It?

Edge computing is the process of designing the IT
network infrastructure such that the data emerging out of various IoT devices
get processed as close to them as possible in order to increase the response
time. Edge computing, apart from improving the network efficiency, also plays a
major role in decreasing the cost of computer components and the number of
networked devices needed when it comes to the internet of things (IoT).

To deploy edge computing – in other words, to
ensure data is processed as close to the IoT devices as possible – instead of
using a single data center (or a central cloud), a number of data centers
spread across the places near to where the IoT devices have been installed, are
put into use to share the data processing burden. Therefore the IoT devices
will relay the information to the data center which is closest to them for
processing.

Importance Of Edge Computing:

The rate at which data is processed is quite
critical when it comes to IoT devices. For example, in the case of an IoT
device like the smoke detector, the response has to be quick. Whereas for
certain other IoT devices, the response need not be that quick. Edge computing comes
in handy especially for those healthcare related IoT devices, where the lives
of the patients may depend upon the critical data.

Can Edge Computing Improve Network Security?

The opinion is pretty much divided when it comes
to whether edge computing can improve the network security or not. Some
security experts argue that security is enhanced because the data does not have
to travel much distance. Moreover, it stays close to where it was created.
Therefore the lesser the distance it has to travel, the lesser are chances of
the data being intercepted.

Another group of security experts argument is
that what if the edge devices themselves are more vulnerable. If this was the
case, the security would be compromised greatly, no matter how intense the security
measure you apply may be. Therefore one cannot, at the moment, clearly confirm
whether edge computing can address network
security aspect as well.

Some of the Benefits of Edge Computing:

There's no doubt that edge computing has the
potential to go a long way. In helping improve the IoT devices which are
gaining traction in today's world. Below are listed some of the benefits this
technology offers:

·Real-time Data Analysis: The first
and foremost advantage of deploying edge computing is the real-time analysis of
data emerging from various IoT devices. As mentioned already, this factor plays
a crucial role when it comes to IoT devices whose data has to be analyzed
real-time. Like, for example, in the case of health-care related IoT devices.

·Lower Operating Costs: When things
are operating efficiently, they will eventually lower your operating costs.
Moreover, strategically placed data centers which are closer to the IoT devices
will reduce the network workload, prolonging the life of the various networking
related devices.

·Reduced Network Traffic: With edge
computing, you are directing the traffic from various IoT devices in an
efficient manner, by using various data centers than relying on one single
(overburdened) server. Therefore edge computing reduces network traffic
greatly.

·Improved Application Performance: Obviously
when the data is being processed at a rapid pace, the performance of the
application (that is, the IoT device) will improve greatly.

Author Bio:

Julia is a security geek with almost 5+ years of
experience, writes on various topics pertaining to network security.

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